Web-Based Facial Authentication System with Flask Server

Overview:

This project implements a secure and user-friendly web-based facial authentication system using Flask and the face_recognition library.

Key Features:

1. Facial Authentication:

   • Utilizes advanced facial recognition algorithms for secure user authentication.

2. Flask Server:

   • Implements a scalable Flask server for seamless web development.

3. Optimized Image Data Handling:

   • Efficiently manages image data using zlib compression for enhanced performance.

4. Customizations and Uniqueness:

   • Integrates Flask-SocketIO, adaptive learning, and dynamic configuration management.
   • Creative error messaging for an improved user experience.

5. Results and Metrics:

   • Quantitative analysis of facial authentication accuracy.
   • Qualitative insights from user feedback.
   • Comprehensive evaluation of scalability, performance, and security.

Future Enhancements:

• Explore multifactor authentication options.
• Implement additional security features.
• Integrate external data sources for realistic simulations.

Resources:

• Flask Documentation
• SQLite Documentation
• Werkzeug Documentation
• CS50 Library Documentation

Contributors:

• Ashis Baidya

Feel free to explore and contribute to the project!